AIMC Topic: Young Adult
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Predicting the Risk of Adverse Events in Pregnant Women With Congenital Heart Disease.
Journal of the American Heart Association
Jul 14, 2020
Background Women with congenital heart disease are considered at high risk for adverse events. Therefore, we aim to establish 2 prediction models for mothers and their offspring, which can predict the risk of adverse events occurred in pregnant women...
Robotic assessment of rapid motor decision making in children with perinatal stroke.
Journal of neuroengineering and rehabilitation
Jul 14, 2020
BACKGROUND: Activities of daily living frequently require children to make rapid decisions and execute desired motor actions while inhibiting unwanted actions. Children with hemiparetic cerebral palsy due to perinatal stroke may have deficits in exec...
Robotics-assisted visual-motor training influences arm position sense in three-dimensional space.
Journal of neuroengineering and rehabilitation
Jul 14, 2020
BACKGROUND: Performing activities of daily living depends, among other factors, on awareness of the position and movements of limbs. Neural injuries, such as stroke, might negatively affect such an awareness and, consequently, lead to degrading the q...
A decision support system based on support vector machine for diagnosis of periodontal disease.
BMC research notes
Jul 13, 2020
OBJECTIVE: Early diagnosis of many diseases is essential for their treatment. Furthermore, the existence of abundant and unknown variables makes more complicated decision making. For this reason, the diagnosis and classification of diseases using mac...
Identification of competing neural mechanisms underlying positive and negative perceptual hysteresis in the human visual system.
NeuroImage
Jul 11, 2020
Hysteresis is a well-known phenomenon in physics that relates changes in a system with its prior history. It is also part of human visual experience (perceptual hysteresis), and two different neural mechanisms might explain it: persistence (a cause o...
Development and Validation of Forecasting Next Reported Seizure Using e-Diaries.
Annals of neurology
Jul 9, 2020
OBJECTIVE: There are no validated methods for predicting the timing of seizures. Using machine learning, we sought to forecast 24-hour risk of self-reported seizure from e-diaries.
Diagnostic performance of fetal intelligent navigation echocardiography (FINE) in fetuses with double-outlet right ventricle (DORV).
The international journal of cardiovascular imaging
Jul 8, 2020
The main objective of this study was to investigate the diagnostic performance of FINE in generating and displaying 3 specific abnormal fetal echocardiography views such as left ventricular outflow tract (LVOT) view, right ventricular outflow tract (...
Humans
Artificial Intelligence
Pregnancy
Spatio-Temporal Analysis
Diagnosis, Computer-Assisted
Predictive Value of Tests
Anatomic Landmarks
Image Interpretation, Computer-Assisted
Female
Reproducibility of Results
Young Adult
Adult
Ultrasonography, Prenatal
Gestational Age
Double Outlet Right Ventricle
Fetal Heart
Echocardiography, Four-Dimensional
Identifying Fatal Head Injuries on Postmortem Computed Tomography Using Convolutional Neural Network/Deep Learning: A Feasibility Study.
Journal of forensic sciences
Jul 8, 2020
Postmortem computed tomography (PMCT) is a relatively recent advancement in forensic pathology practice that has been increasingly used as an ancillary investigation and screening tool. One area of clinical CT imaging that has garnered a lot of resea...
Using trauma registry data to predict prolonged mechanical ventilation in patients with traumatic brain injury: Machine learning approach.
PloS one
Jul 8, 2020
OBJECTIVES: We aimed to build a machine learning predictive model to predict the risk of prolonged mechanical ventilation (PMV) for patients with Traumatic Brain Injury (TBI).
Evaluation of mental workload during automobile driving using one-class support vector machine with eye movement data.
Applied ergonomics
Jul 6, 2020
The aim of this study is to investigate the usefulness of the anomaly detection method by one-class support vector machine (OCSVM) for the evaluation of mental workload (MWL) during automobile driving. Twelve students (six males and six females) part...
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